Larval dispersion along a straight coast with tidal currents: complex distribution patterns from a simple model

Richards, Shane A.; Possingham, Hugh P.; Noye, B. J.

doi:10.3354/meps122059

Cited by 37 publications

(25 citation statements)

References 28 publications

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“…Recently, the use of numerical hydrodynamic models to study the influence of coastal oceanography on dispersal and recruitment has increased (Black & Moran 1991, Richards et al 1995, Hinckley et al 1996, Bartsch & Coom.bs 1997, Jenkins et al 1997, Kasai et al 1997. Models can make predictions based on 'passive' dispersal with simulated larvae well-mixed through the water column and, in a number of studies, simulation of passive dispersal has successfully predicted larval distribution or settlement in space or time (McShane et al 1988, Clancy & Cobb 1997, Jenkins et al 1997, Van der Veer et al 1998).…”

Section: Introductionmentioning

confidence: 99%

The role of passive transport and the influence of vertical migration on the pre-settlement distribution of a temperate, demersal fish:numerical model predictions compared with field sampling

Jenkins¹,

Black²,

Keough³

1999

Mar. Ecol. Prog. Ser.

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We compared spatial variation in the abundance of I n g George whiting Sillaginodes punctata post-larvae in the southern part of Port Phillip Bay, Australia, with predictions of hydrodynamic and dispersal numerical models that included passive transport, and vertical migratory behaviour previously observed in the field. Post-larvae were sampled at 20 sites on cruises in the spring of 1994 and 1995. Modelling included a 'passive' case with particles mixed through the water column, 'active' behaviour mirroring die1 and tidal variation in the field, and 'day/night' behaviour where behaviour in the field was averaged across tides. Correlations between model simulations and post-larval distribution were highest in 1995 and were similar amongst the 3 simulations (58% of variation explained for both the passive and dayhight cases). In 1994, variation in the spatial distribution explained was highest for the passive case, intermediate for the active case and lowest for the day/night case. Prevailing winds were quite different between years, with westerlies prevailing in 1994 but significant periods of easterly winds in 1995. These differences were reflected by particle cllstributions from simulation~ including behaviour, but were not reflected in post-larval distributions. A negative correlation was found between post-larval abundances and distance from shore. When model predictions and distance from shore were combined in a multiple regression, approximately 70% of the spatial variation in post-larval abundance was explained in 1995. The results imply that although the passive transport model was an excellent predictor of post-larval abundance in both years, observed vertical migration was not influencing transport, and post-larvae were closer to shore than expected, possibly due to behaviours other than vertical migration. The close association of S. punctata post-larvae with the coastline provided a mechanism for transport further into the bay, against the prevailing wind field.

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Section: Introductionmentioning

confidence: 99%

The role of passive transport and the influence of vertical migration on the pre-settlement distribution of a temperate, demersal fish:numerical model predictions compared with field sampling

Jenkins¹,

Black²,

Keough³

1999

Mar. Ecol. Prog. Ser.

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“…In the absence of suitable substrates, pediveliger potentially delay metamorphosis for several weeks (up to 40 days at 108C) (Bayne 1965(Bayne , 1976 allowing for the colonization of distant substrates. During extended dispersal in the water column larvae are exposed to physical and biological stresses such as those resulting from water turbulences and unfavourable currents (Belgaro et al 1995;Morgan 1995;Richards et al 1995) and predation (Young & Chia 1987;Rumrill 1990). Larval mortality may exceed 99% (Thorson 1966;Mileikovsky 1971;Purchon 1977;Jørgensen 1981) due to starvation and predation by fish and invertebrates.…”

Section: Introductionmentioning

confidence: 99%

Colonization of an artificial hard substrate byMytilus edulisin the German Bight

Joschko

Buck

Gutow

et al. 2008

Marine Biology Research

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The colonization of the underwater construction of an offshore research platform in the German Bight by Mytilus edulis was investigated. Mussel abundance, biomass and percentage coverage of the construction were determined from summer 2003 to summer 2005 from different water depths using digital underwater images and scrape samples of the hard substrate fauna. Growth was estimated from shell length distributions. In 2003 settlement of M. edulis was low at the platform mainly due to a temporal mismatch between platform construction and occurrence of competent larvae. In summer 2004 mussel abundance increased remarkably in the intertidal and upper subtidal. Abundance and biomass increased up to 30,000 individuals m (2 and approximately 40 kg m (2 in summer 2005. At the end of the investigation period, the upper part of the platform foundation was completely covered by M. edulis. Lower parts remained sparsely colonized. Mussel growth rates were high under offshore conditions because of favourable environmental conditions and reduced biological constraints. Cumulative effects from wind farm entities are estimated. Mussel accumulations will be an important component in the estimation of ecological implications of offshore wind farming at least at the local scale.

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“…The simple model was expanded to a metapopulation level (Iwasa & Roughgarden 1985, 1986a, and hydrodynamic processes were added (Roughgarden et al 1988, 1994, Possingham & Roughgarden 1990. Richards et al 1995, Alexander & Roughgarden 1996 in parallel with experimental work , Shkedy & Roughgarden 1997.…”

Section: Introductionmentioning

confidence: 99%

Barnacle demography:evidence for an existing model and spatial scales of variation

Hyder¹,

Johnson²,

Hawkins³

et al. 1998

Mar. Ecol. Prog. Ser.

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A demographic model for an open population with space-limited recruitment has been previously proposed and tested using the barnacle Balanus glandula on a single shore in California. The model makes a number of qualitative predictions about population structure. At small scales, areas of high settlement should have on average less free space and fewer cohorts. At a larger unspecified scale (>34.6 cm2) cohort structure should be more variable in areas of high settlement. We attempted to test these quahtative predictions on a number of different spatial scales using the barnacle Semibalanus balanoides. A recruitment grad~ent was defined for S balanoides around the coast of Anglesey, Wales, with the north having lower recruitment than the south regardless of year. Given this recruitment gradient, a nested ANOVA was used to examine the qualitative predictions of the demographic model at different scales. The qualitative predictions of the demographic model were not generally supported by an analysis of data from Anglesey. Free space and small-scale population variance did not vary between areas of different recruitment density. Barnacle size variation was greater on high recruitment shores at an intermediate scale (100 m) as predicted by the model. However, this difference was not staUstically significant. Even at the scale of individual 5 X 5 cm photographs there was no evidence of a positive relationship between barnacle size variance and free space. Possible reasons for the mismatch of the demographic model predictions and empirical observations are discussed. There may be insufficient spatial sampling, insufficient recruitment difference, large-scale variation in mortality and growth rates, or the model assumptions may be incorrect. One important difference between the 2 levels of recruitment is that low recruitment sites had a constant patch size below 25 cmZ, whereas the high recruitment sites did not. If patch scale is variable, the predictions of the demographic model wlll be irrelevant as there is no single scale at which they can be observed. Use of the nested ANOVA technique with logarithmic spatial scales also allows hypotheses to be made about the important spatial sca1.e~ for future demographic studies using manipulative expenments. For population variance, free space and opercular length the important scales were small ( < l m), meso-(100 m), and large scales (>l0 km).

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Larval dispersion along a straight coast with tidal currents: complex distribution patterns from a simple model

Cited by 37 publications

References 28 publications

The role of passive transport and the influence of vertical migration on the pre-settlement distribution of a temperate, demersal fish:numerical model predictions compared with field sampling

The role of passive transport and the influence of vertical migration on the pre-settlement distribution of a temperate, demersal fish:numerical model predictions compared with field sampling

Colonization of an artificial hard substrate byMytilus edulisin the German Bight

Barnacle demography:evidence for an existing model and spatial scales of variation

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